A Hardware Track-Trigger for CMS : at the High Luminosity LHC : Doctoral Thesis accepted by Imperial College London, London, UK / Thomas Owen James
| A Hardware Track-Trigger for CMS : at the High Luminosity LHC : Doctoral Thesis accepted by Imperial College London, London, UK / Thomas Owen James |
| Autore | James, Thomas Owen |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xix, 121 p. : ill. ; 24 cm |
| Soggetto topico |
82-XX - Statistical mechanics, structure of matter [MSC 2020]
00A79 (77-XX) - Physics [MSC 2020] 81V45 - Atomic physics [MSC 2020] |
| Soggetto non controllato |
CMS Experiment
CMS Tracker Field Programmable Gate Array Hardware Trigger High-Energy Physics Hough Transform Kalman Filter Level 1 Tracking Level 1 Trigger Track Trigger Trigger decision |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0214443 |
James, Thomas Owen
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| Cham, : Springer, 2019 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Hardware Track-Trigger for CMS : at the High Luminosity LHC : Doctoral Thesis accepted by Imperial College London, London, UK / Thomas Owen James
| A Hardware Track-Trigger for CMS : at the High Luminosity LHC : Doctoral Thesis accepted by Imperial College London, London, UK / Thomas Owen James |
| Autore | James, Thomas Owen |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xix, 121 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
81V45 - Atomic physics [MSC 2020] 82-XX - Statistical mechanics, structure of matter [MSC 2020] |
| Soggetto non controllato |
CMS Experiment
CMS Tracker Field Programmable Gate Array Hardware Trigger High-Energy Physics Hough Transform Kalman Filter Level 1 Tracking Level 1 Trigger Track Trigger Trigger decision |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00214443 |
James, Thomas Owen
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| Cham, : Springer, 2019 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing : Doctoral Thesis accepted by the Université libre de Bruxelles, Brussels, Belgium / Piotr Antonik
| Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing : Doctoral Thesis accepted by the Université libre de Bruxelles, Brussels, Belgium / Piotr Antonik |
| Autore | Antonik, Piotr |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xxii, 171 p. : ill. ; 24 cm |
| Soggetto topico |
68Txx - Artificial intelligence [MSC 2020]
81V80 - Quantum optics [MSC 2020] 78A60 - Lasers, masers, optical bistability, nonlinear optics [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Biomedical Imaging Field Programmable Gate Array Hardware Artificial Neural Networks Online Learning Opto-electronics Photonic Reservoir Computing Photonics Prediction of Chaotic Time Series Reservoir computing Telecommunications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0208162 |
Antonik, Piotr
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| Cham, : Springer, 2018 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing : Doctoral Thesis accepted by the Université libre de Bruxelles, Brussels, Belgium / Piotr Antonik
| Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing : Doctoral Thesis accepted by the Université libre de Bruxelles, Brussels, Belgium / Piotr Antonik |
| Autore | Antonik, Piotr |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xxii, 171 p. : ill. ; 24 cm |
| Soggetto topico |
68Txx - Artificial intelligence [MSC 2020]
78A60 - Lasers, masers, optical bistability, nonlinear optics [MSC 2020] 81V80 - Quantum optics [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Biomedical Imaging Field Programmable Gate Array Hardware Artificial Neural Networks Online Learning Opto-electronics Photonic Reservoir Computing Photonics Prediction of Chaotic Time Series Reservoir computing Telecommunications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00208162 |
Antonik, Piotr
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| Cham, : Springer, 2018 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dynamics of Complex Autonomous Boolean Networks : Doctoral Thesis accepted by Technische Universität Berlin, Germany / David P. Rosin
| Dynamics of Complex Autonomous Boolean Networks : Doctoral Thesis accepted by Technische Universität Berlin, Germany / David P. Rosin |
| Autore | Rosin, David P. |
| Pubbl/distr/stampa | Cham, : Springer, 2015 |
| Descrizione fisica | xx, 199 p. : ill. ; 24 cm |
| Soggetto topico |
94-XX - Information and communication theory, circuits [MSC 2020]
92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] 94D10 - Boolean functions [MSC 2020] 94C11 - Switching theory, applications of Boolean algebras to circuits and networks [MSC 2020] |
| Soggetto non controllato |
Autonomous Boolean Networks
Chimera States Cluster Synchronization Complex Boolean Networks Field Programmable Gate Array High-speed Random Number Generator Neural Spiking Satterns Neuro-inspired Computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0133578 |
Rosin, David P.
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| Cham, : Springer, 2015 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dynamics of Complex Autonomous Boolean Networks : Doctoral Thesis accepted by Technische Universität Berlin, Germany / David P. Rosin
| Dynamics of Complex Autonomous Boolean Networks : Doctoral Thesis accepted by Technische Universität Berlin, Germany / David P. Rosin |
| Autore | Rosin, David P. |
| Pubbl/distr/stampa | Cham, : Springer, 2015 |
| Descrizione fisica | xx, 199 p. : ill. ; 24 cm |
| Soggetto topico |
92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] 94C11 - Switching theory, applications of Boolean algebras to circuits and networks [MSC 2020] 94D10 - Boolean functions [MSC 2020] |
| Soggetto non controllato |
Autonomous Boolean Networks
Chimera States Cluster Synchronization Complex Boolean Networks Field Programmable Gate Array High-speed Random Number Generator Neural Spiking Satterns Neuro-inspired Computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00133578 |
Rosin, David P.
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| Cham, : Springer, 2015 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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